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Xu Wu · Study

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Xu Wu

9 works· latest 2024· 3 institutionscluster: provisionalORCID 0000-0002-0436-5969

h-index9

i109

Citations383

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Most cited in this library

Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian process, Part 1: Theory2018 · 131 citations
Kriging-based inverse uncertainty quantification of nuclear fuel performance code BISON fission gas release model using time series measurement data2017 · 75 citations
Demonstration of the relationship between sensitivity and identifiability for inverse uncertainty quantification2019 · 44 citations
Inverse uncertainty quantification of reactor simulations under the Bayesian framework using surrogate models constructed by polynomial chaos expansion2016 · 34 citations
Quantification of Deep Neural Network Prediction Uncertainties for VVUQ of Machine Learning Models2022 · 28 citations

Works

9 shown

Functional PCA and deep neural networks-based Bayesian inverse uncertainty quantification with transient experimental data

Computer Methods in Applied Mechanics and Engineering·2024·3 authors·Open access

20citations

Scalable Inverse Uncertainty Quantification by Hierarchical Bayesian Modeling and Variational Inference

Energies·2023·4 authors·Open access

19citations

Quantification of Deep Neural Network Prediction Uncertainties for VVUQ of Machine Learning Models

Nuclear Science and Engineering·2022·2 authors·Open access

28citations

Bayesian inverse uncertainty quantification of a MOOSE-based melt pool model for additive manufacturing using experimental data

Annals of Nuclear Energy·2021·4 authors·Open access

17citations

Towards improving the predictive capability of computer simulations by integrating inverse Uncertainty Quantification and quantitative validation with Bayesian hypothesis testing

Nuclear Engineering and Design·2021·3 authors·Open access

15citations

Demonstration of the relationship between sensitivity and identifiability for inverse uncertainty quantification

Journal of Computational Physics·2019·3 authors·Open access

44citations

Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian process, Part 1: Theory

Nuclear Engineering and Design·2018·4 authors·Open access

131citations

Kriging-based inverse uncertainty quantification of nuclear fuel performance code BISON fission gas release model using time series measurement data

Reliability Engineering & System Safety·2017·3 authors·Open access

75citations

Inverse uncertainty quantification of reactor simulations under the Bayesian framework using surrogate models constructed by polynomial chaos expansion

Nuclear Engineering and Design·2016·2 authors

34citations